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Hands-On Graph Analytics with Neo4j

You're reading from   Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212611
Length 510 pages
Edition 1st Edition
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Author (1):
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Estelle Scifo Estelle Scifo
Author Profile Icon Estelle Scifo
Estelle Scifo
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Toc

Table of Contents (18) Chapters Close

Preface 1. Section 1: Graph Modeling with Neo4j
2. Graph Databases FREE CHAPTER 3. The Cypher Query Language 4. Empowering Your Business with Pure Cypher 5. Section 2: Graph Algorithms
6. The Graph Data Science Library and Path Finding 7. Spatial Data 8. Node Importance 9. Community Detection and Similarity Measures 10. Section 3: Machine Learning on Graphs
11. Using Graph-based Features in Machine Learning 12. Predicting Relationships 13. Graph Embedding - from Graphs to Matrices 14. Section 4: Neo4j for Production
15. Using Neo4j in Your Web Application 16. Neo4j at Scale 17. Other Books You May Enjoy
The Cypher Query Language

Cypher is the language used to interact with Neo4j. Originally created by Neo4j for Neo4j, it has been open sourced as openCypher and is now used by other graph database engines such as RedisGraph. It is also part of the Graph Query Language (GQL) association, whose goal is to build a common graph database query language – like SQL is for relational databases. In any case, it is a good starting point to understand how to query graph databases due to its visual aspect: nodes and relationships can be identified quickly by looking at the query.

In this chapter, we will review the basics of Cypher, which will be used in this book: CRUD methods, bulk importing data with various formats, and pattern matching to extract exactly the data we need from a graph. It is a good place to introduce the Awesome Procedures On Cypher (APOC) plugin, which is an extension...

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